The Application Research and Implementation of Smoothing in Spectrum Analysis

The data tested by mass displays in spectrum diagram,obtains useful information form by analyzing the spectrum diagram.Spectrum analysis is the process to analyse the spectral data through the corresponding algorithm used on the computer technology,improves the accuracy of spectral data and other properties and provides facilitation for the analyst who analyze the mass data through the spectrum.Smoothing is the primary step in the spectrum process,it will directly affects the accuracy of the spectral data analysis.The paper describes several smoothing algorithm theory which are used in the spectrum analysis,such as boxcar smoothing,Gaussian smoothing,parabola smoothing,and these algorithms are implemented in VS2008 and C Sharp language.